Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3313-2017
https://doi.org/10.5194/amt-10-3313-2017
Research article
 | 
11 Sep 2017
Research article |  | 11 Sep 2017

Spatial estimation of air PM2.5 emissions using activity data, local emission factors and land cover derived from satellite imagery

Hezron P. Gibe and Mylene G. Cayetano

Viewed

Total article views: 2,797 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,758 938 101 2,797 313 101 117
  • HTML: 1,758
  • PDF: 938
  • XML: 101
  • Total: 2,797
  • Supplement: 313
  • BibTeX: 101
  • EndNote: 117
Views and downloads (calculated since 24 Mar 2017)
Cumulative views and downloads (calculated since 24 Mar 2017)

Viewed (geographical distribution)

Total article views: 2,797 (including HTML, PDF, and XML) Thereof 2,775 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
Short summary
This paper presents a low-technical method of estimating particulate air pollution in small cities, using Cabanatuan City, Philippines, as the study site, intended for use by stakeholders requiring minimal training in geospatial methods and GIS, for expediting air pollution emission inventories. This method utilizes local emission data and land cover derived from Google Earth satellite images. Results in the study site suggest high emissions from vehicular sources and rice straw burning.